{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "cbf2aefa-d205-44aa-8b3d-857820fcb2bc",
   "metadata": {},
   "source": [
    "## 1、绘制x,y折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e8e8a97a-65b7-4fa8-b6e0-a157733e8a5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "x = range(2,26,2)\n",
    "\n",
    "y = [15,13,14.5,17,20,25,26,26,27,22,18,15]\n",
    "\n",
    "plt.plot(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "82f6d111-17c3-4263-9055-a6574a1b985b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1600x640 with 0 Axes>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1600x640 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,8),dpi=80)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "83fb9795-7381-4d3d-94eb-1f6267a918d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f9b2568f130>]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5fd95b3e-594d-42a0-930b-e6592236ff44",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
